jaredpalmer/kev

Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own

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Small Jev-like decision models you can train and run yourself. Kev is a family of small decision models built on Qwen3.5 and Qwen3.8 and based on the architecture described in Jev's Architecture Unmasked. You can use the pretrained weights or train your own. The API matches TypeSafe's System One, so you can point their Python SDK at your local server. Start with Kev-4B. Move to Kev-9B if you have a bigger GPU, or to Kev-27B if you have an 80 GB GPU and want the most accurate Kev. Use Kev-0.8B when size matters more than accuracy. "Held-out datasets" is the chance-corrected index of the community Decision Index, scored on the test split of breadth-v1: 14 public datasets in five areas that no Kev trained on. "Validated context" is the longest document, in tokens, for which accuracy on real contracts (CUAD) stays within 3 points of the same model's accuracy at…

jaredpalmer/kev on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-11-02T22:52:16.930Z

Inside the original README — Document outline
  1. Kev
  2. Highlights
  3. Models
  4. Kev 1.0
  5. Quick Start
  6. Try It in the Browser
  7. Run It Locally
  8. Use It From Python
  9. Fine-Tune on Your Own Data
  10. With a Coding Agent
  11. By Hand
  12. Deploy Your Own Endpoint

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own

Repository facts

Owner
jaredpalmer
Primary language
Python
Stars
9,256
Forks
623
Open issues + pull requests
33
License
Apache-2.0
Archived
No
Default branch
main
Created
2026-09-17T20:49:39.000Z
Last push
2026-10-16T13:42:00.000Z

Topics and intended use

Owner-supplied topics: decision-model, jev, qwen3

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